Massimo Bonora

93 papers and 9.0k indexed citations i.

About

Massimo Bonora is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Massimo Bonora has authored 93 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 19 papers in Epidemiology and 13 papers in Physiology. Recurrent topics in Massimo Bonora’s work include Mitochondrial Function and Pathology (45 papers), ATP Synthase and ATPases Research (20 papers) and Autophagy in Disease and Therapy (18 papers). Massimo Bonora is often cited by papers focused on Mitochondrial Function and Pathology (45 papers), ATP Synthase and ATPases Research (20 papers) and Autophagy in Disease and Therapy (18 papers). Massimo Bonora collaborates with scholars based in Italy, Poland and United States. Massimo Bonora's co-authors include Paolo Pinton, Carlotta Giorgi, Mariusz R. Więckowski, Saverio Marchi, Simone Patergnani, Angela Bononi, Alessandro Rimessi, Jan M. Suski, Sonia Missiroli and Jerzy Duszyński and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Co-authorship network of co-authors of Massimo Bonora i

Fields of papers citing papers by Massimo Bonora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo Bonora. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Massimo Bonora. The network helps show where Massimo Bonora may publish in the future.

Countries citing papers authored by Massimo Bonora

Since Specialization
Citations

This map shows the geographic impact of Massimo Bonora's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Massimo Bonora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Bonora more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025